Author

Ciarán M. Gilligan-Lee

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#artificial intelligence Preprint Oct 2026

Defence against the dark arts of distillation: Unsupervised discovery of subliminal learning

When a language model is distilled from a teacher that shares its base parameters, the student can inherit behavioural traits of the teacher---including misalignment---even from data that is semantically unrelated to the trait (Cloud et al., 2026). All existing defences require knowing the trait. We remove this require...

Joseph Egan, C. Gilligan-Lee, Michael O'Riordan et al. · 0 citations

Preprint Aug 2026

Incremental Recommendation via Causal Models

This work extends an existing production recommendation model to a causal architecture using holdback data that is already collected as part of routine experimentation infrastructure, and shows that joint training with holdback data improves calibration of the treated head relative to the production baseline, and argue...

Athanasios Vlontzos, David Gustafsson, Michael O'Riordan et al. · 0 citations